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Cognitive network

About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.


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Journal ArticleDOI
15 May 2015
TL;DR: Key processes in network intelligence, such as reasoning, learning, and context awareness, are presented to illustrate how these methods can take reconfiguration to a new level and offer a unifying framework for research in reconfigurable wireless networks.
Abstract: Driven by the advent of sophisticated and ubiquitous applications, and the ever-growing need for information, wireless networks are without a doubt steadily evolving into profoundly more complex and dynamic systems. The user demands are progressively rampant, while application requirements continue to expand in both range and diversity. Future wireless networks, therefore, must be equipped with the ability to handle numerous, albeit challenging, requirements. Network reconfiguration, considered as a prominent network paradigm, is envisioned to play a key role in leveraging future network performance and considerably advancing current user experiences. This paper presents a comprehensive overview of reconfigurable wireless networks and an in-depth analysis of reconfiguration at all layers of the protocol stack. Such networks characteristically possess the ability to reconfigure and adapt their hardware and software components and architectures, thus enabling flexible delivery of broad services, as well as sustaining robust operation under highly dynamic conditions. The paper offers a unifying framework for research in reconfigurable wireless networks. This should provide the reader with a holistic view of concepts, methods, and strategies in reconfigurable wireless networks. Focus is given to reconfigurable systems in relatively new and emerging research areas such as cognitive radio networks, cross-layer reconfiguration, and software-defined networks. In addition, modern networks have to be intelligent and capable of self-organization. Thus, this paper discusses the concept of network intelligence as a means to enable reconfiguration in highly complex and dynamic networks. Key processes in network intelligence, such as reasoning, learning, and context awareness, are presented to illustrate how these methods can take reconfiguration to a new level. Finally, the paper is supported with several examples and case studies showing the tremendous impact of reconfiguration on wireless networks.

54 citations

Proceedings ArticleDOI
18 May 2009
TL;DR: A generic scheme to achieve better coexistence between UWB and WIMAX through enhancing existing mitigation techniques and a novel, recently proposed approach which could guarantee a conflict-free coexistence are shown.
Abstract: With an increasing number of collocated personal, local and cellular wireless communication systems, the question of optimum coexistence and inter-networking are raised. Although some mitigation techniques, like DAA, LDC, Frequency band notching etc. are being widely studied by industries, regulation bodies and standardization authorities, none of them show good performance in terms of detection and energy consumption without having a priori knowledge about the primary system which is not usually available. Cognitive radios and networks with cognitive signaling and data-aided mitigation techniques can become then key enablers for true heterogeneous communication environment with optimal sharing of the spectrum and coexistence. Cognitive pilot channel (CPC) is a novel, recently proposed approach which could guarantee a conflict-free coexistence. In this paper we show a generic scheme to achieve better coexistence between UWB and WIMAX through enhancing existing mitigation techniques.

54 citations

Proceedings ArticleDOI
28 Oct 2013
TL;DR: Different RSA-related optimization problems that arise within the life-cycle of flexgrid networks are reviewed and different methods to solve those optimization problems are reviewed along with the different requirements related to where those problems appear.
Abstract: We provide a comprehensible introduction to RSA-related problems in flexgrid networks. Starting from its formulation, we analyze network live cycle and indicate different solving methods for the kind of problems that arise at each network phase: from the initial network planning to network reoptimization, going through network operation.

54 citations

Proceedings ArticleDOI
24 Jun 2007
TL;DR: This paper presents a cognitive network approach to achieving the objectives of power and spectrum management as a two phased non-cooperative game and uses the properties of potential game theory to ensure the existence of, and convergence to, a desirable Nash equilibrium.
Abstract: Wireless topology control is the process of structuring the connectivity between network nodes to achieve some network-wide goal This paper presents a cognitive network approach to achieving the objectives of power and spectrum management We cast the problem as a two phased non-cooperative game and use the properties of potential game theory to ensure the existence of, and convergence to, a desirable Nash equilibrium Although this is a multi-objective optimization and the spectrum management problem is NP-hard, this selfish cognitive network constructs a topology that minimizes the maximum transmission power while simultaneously using, on average, less than 12% extra spectrum, as compared to the ideal solution

54 citations

Proceedings ArticleDOI
10 Apr 2011
TL;DR: It is shown secondary networks can obtain the same order of throughput and delay as standalone networks when primary networks are classic static networks, networks with random walk mobility, hybrid networks, multicast networks, hierarchically cooperative networks or clustered networks.
Abstract: There has been recent interest within the networking research community to understand how performance scales in cognitive networks with overlapping n primary nodes and m secondary nodes. Two important metrics, i.e., throughput and delay, are studied in this paper. We first propose a simple and extendable decision model, i.e., the hybrid protocol model, for the secondary nodes to exploit spatial gap among primary transmissions for frequency reuse. Then a framework for general cognitive networks is established based on the hybrid protocol model to analyze the occurrence of transmission opportunities for secondary nodes. We show that in the case that the transmission range of the secondary network is smaller than that of the primary network in order, as long as the primary network operates in a generalized round-robin TDMA fashion, the hybrid protocol model suffice to guide the secondary network to achieve the same throughput and delay scaling as a standalone network, without harming the transmissions of the primary network. Our approach is general in the sense that we only make a few weak assumptions on both networks, and therefore obtains a wide variety of results. We show secondary networks can obtain the same order of throughput and delay as standalone networks when primary networks are classic static networks, networks with random walk mobility, hybrid networks, multicast networks, hierarchically cooperative networks or clustered networks. Our work presents a relatively complete picture of the performance scaling of cognitive networks and provides fundamental insight on the design of them.

53 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202317
202234
202175
2020104
2019121
2018134